Recognize_face.py

import numpy as np
import cv2


face_cascade = cv2.CascadeClassifier("haarcascade_frontalface_default.xml")


recognizer = cv2.face.LBPHFaceRecognizer_create()

#recognizer = cv2.face.EigenFaceRecognizer_create()

#recognizer = cv2.face.FisherFaceRecognizer_create()

recognizer.read("Trainer.yml")
cap = cv2.VideoCapture(0)
Id = 0
Name = ""
font = cv2.FONT_HERSHEY_COMPLEX

while True:
    ret, img = cap.read()
    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    faces = face_cascade.detectMultiScale(gray, 1.2, 5)
    for (x, y, w, h) in faces:

    
        cv2.rectangle(img, (x, y), (x + w, y + h), (255, 225, 225), 2)
        
        Id, conf = recognizer.predict(gray[y:y + h, x:x + w])
        #Here you can make any number of ids please change according to your name and id(that you have typed in your first file) 
        if Id == 1:
            Name = "Gaurav"
        elif Id == 2:
            Name = "Apeksha"
        elif Id== 3:
            Name = "Parth"
        
       
            
    cv2.rectangle(img, (x - 22, y - 45), (x + w + 15, y - 22), (0, 0, 0), -1)
    cv2.putText(img,"Name:" + str(Name), (x, y - 22), font, 1, (0, 0, 255), 2)
    
    cv2.imshow('img', img)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break


cap.release()
cv2.destroyAllWindows()